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Extending database capabilities: Fuzzy semantic model

dc.contributor.authorChakhar, Salem
dc.contributor.authorTelmoudi, Abdelkader
dc.date.accessioned2010-12-13T08:46:55Z
dc.date.available2010-12-13T08:46:55Z
dc.date.issued2004
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/5281
dc.language.isoenen
dc.subjectFuzzy classen
dc.subjectFuzzy databaseen
dc.subjectFuzzy logicen
dc.subjectFuzzy semantic modelen
dc.subject.ddc005.7en
dc.titleExtending database capabilities: Fuzzy semantic modelen
dc.typeCommunication / Conférence
dc.description.abstractenThis paper presents a new database model, namely Fuzzy Semantic Model (or FSM). FSM enables us to capture effectively the fuzziness and semantics of real-world and provides tools for its formalization and conceptualization within a manner adapted to human perception and reasoning. One of the novelties of FSM is that it authorizes an entity to be a member of several classes at the same time and according to different degrees of memberships that reflect the extent to which the entity verifies the attribute-based and/or semantic proprieties of these classes. The idea is to associate to each class a set of semantic and attribute-based proprieties; each one has its own membership function. These functions are then weighted in order to construct global membership functions that will be used as meant for assigning entities to classes.en
dc.identifier.citationpages7en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelOrganisation des donnéesen
dc.relation.conftitleConférence Internationale: Sciences Electronique, Technologies de l'Information et des Télécommunications (SETIT'04)en
dc.relation.confdate2004-03
dc.relation.confcitySousseen
dc.relation.confcountryTunisieen


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